SCALABLE AI TECHNOLOGY FOR REAL-WORLD ENVIRONMENTS
We design and implement complete artificial intelligence solutions, from predictive analytics through to agentic AI, built into the workflows you actually use and governed by the most demanding security and privacy standards. And all of it with lower energy consumption, because efficiency is not an added extra here, it is there by design.
Technology solutions: our complete AI stack
Discover how we combine AI, big data, and a strategic data vision to drive your organization forward:
AI models
Computer vision
We spot what the naked eye misses
We interpret images and video in real time for quality inspection, process control and safety.
Natural language processing
We turn noise into decisions
We extract and structure knowledge from text and speech, from customer service through to document analysis.
Neural networks and deep learning
We go where simple rules cannot reach
We apply deep learning where the relationships in the data are too complex for conventional logic.
Predictive analytics
We see the problem before it arrives
We anticipate risk, demand and behaviour so that you can decide while you still have room to manoeuvre.
WHAT WE DO
We design and develop AI solutions that turn your data into strategic value. We support you from ideation to implementation, with predictive models, automation, and advanced analytics.
Data governance
Order from the very first data point, not once it is too late.
We apply traceability, quality and access control from day one.
MLOps
A model is not something you launch and forget.
We manage its full life cycle: deployment, monitoring, retraining and performance control.
Built-in regulatory compliance
Compliance fitted at the factory, not patched on afterwards.
We build GDPR, MiFID and other regulations in from the design stage.
Application
Applied machine learning
Your data, not generic data scraped off the internet
We train models on your real information, tailored to your sector and your processes.
Agentic AI
They do not just answer, they act
We deploy autonomous agents that carry out tasks and complete workflows from start to finish.
Model fine-tuning
We sharpen what already exists
We adapt models to your specific domain and vocabulary, without starting from scratch or settling for something generic.
Integration into internal workflows
Same SAP, same Excel, different results
We build AI into the systems you already have. Your team does not change tools, it changes results.
ISO 27001
Your data, under your control, always
We help companies adopt advanced artificial intelligence technologies while preserving data sovereignty, privacy and security at every step. Your data never leaves your controlled environment, it is processed to certified ISO 27001 standards, and it is governed to the regulatory standard your business requires.
How the EU AI Act and data protection law shape our solutions
We do not treat regulatory compliance as paperwork to be dealt with once development is over. It is a design requirement from the very first phase of the ADAPT method. Our approach rests on the European regulatory frameworks that already shape any AI project:
EU Artificial Intelligence Act
We classify every system by its level of risk (minimal, limited, high or unacceptable) at the design stage, and adapt the project's obligations accordingly: technical documentation, a risk management system, human oversight, robustness and accuracy, cybersecurity and post-deployment monitoring.
General Data Protection Regulation (GDPR)
We apply the principles of lawfulness, data minimisation and purpose limitation to every data source, with a clear legal basis for processing, encryption in transit and at rest, and pseudonymisation or anonymisation wherever the use case allows.
Data protection impact assessments (DPIAs)
On high-risk projects, and on those handling special categories of data, we carry out the data protection impact assessment as part of the Analyse phase, before a single piece of real data is processed.
The rights of data subjects
We design systems so that the rights of access, rectification, erasure and portability can genuinely be exercised in practice, rather than existing only as a contractual clause.
Additional sector-specific regulation
MiFID in financial services, health data legislation in healthcare, and the sovereignty and security requirements specific to defence and aerospace, applied according to the sector of each project.
Our Trusted AI approach
We go further than the regulatory minimum: every solution is designed around a Trusted AI approach, inspired by the European Commission's requirements for trustworthy artificial intelligence. Six principles that translate into concrete technical decisions on every project:
Human oversight
Defined human checkpoints on the highest-impact decisions, so that critical processes are never automated blindly.
Technical robustness and safety
Models tested against errors, failures and malicious use, deployed in secure environments and monitored continuously.
Privacy and data governance
Full control over which data is used, how it is accessed and who can access it, with complete data lineage.
Transparency
Explainable models and decisions: we avoid the black box wherever the use case allows, and we document whatever cannot be fully explained.
Fairness and non-discrimination
Bias audits before and after deployment, using quantifiable metrics.
Accountability
Every system is documented and auditable, internally and for regulators or third parties, at any point in its life cycle.
This approach is applied at every phase of the ADAPT method and is researched and refined continuously at QALEON Lab, so that trust in AI is the result of a verifiable process.
Problems we solve
Efficient AI optimisation layer:
- High inference costs
We optimise and compress models to bring down the cost per inference without losing performance.
- Extreme energy consumption
We design efficient architectures: 50-80% savings in energy consumption
- Limited capacity to scale the service
We design infrastructure that grows with your demand, so you do not have to redesign the system every time you scale.
- Queues, latency and load peaks
We optimise performance so that you meet your service level agreements (SLAs) even at times of peak demand.
- Insecure environments
Deployment in private, controlled environments, with regulatory compliance (GDPR, MiFID) built in from the design stage.
Responsible, auditable AI
At QALEON it is not enough for AI to work. We make it explainable, auditable and accountable to regulators, clients and society.
- Algorithmic bias
We audit and mitigate bias during model training and validation, using quantifiable fairness metrics before and after deployment.
- Lack of transparency (the black box)
We give priority to explainable models and techniques: every significant prediction can be justified, not simply displayed.
- Insufficient traceability
A complete record of data, model versions and decisions (data lineage and model lineage), ready for internal and external audits.
- EU AI Act compliance
Risk classification of the system, technical documentation and governance aligned with European AI regulation from the moment the project is designed.
- Automation without human control
We build human oversight points (human in the loop) into the most sensitive and highest-impact decisions.
Being auditable, explainable and accountable does not hold an AI project back: it is what lets you scale it with confidence.
